RestAssured Network

Complementary projects related to Cloud Security

Projects

Projects

Innovate UK ASSURED

This project aims to speed up and iprove the security assurance prodecudes for applicatios connected to the UK NHS network by using models and machine reasoning. The focus is on modelling application networks and supporting analysis of risks to the application including risks of non-compliance with NHS regulartions, and exploitation of the resulting models for run-time compliance checking at an NHS-connected data centre.

Like RestAssured, ASSURED aims to exploit models created at design time to analyse and maintain security compliance at run-time in applications involving the collection and use of personal data.

There is an increasing need to develop data intensive applications able to manage more and more amounts of data coming from distributed and heterogeneous sources effectively, quickly, correctly, and securely. However, the current adoption of Cloud Computing paradigm is not fully appropriate to store and analyse such data: latency, security, and compliance are all still significant barriers.

MELODIC will enable data-intensive applications to run within defined security, cost, and performance boundaries seamlessly on geographically distributed and federated cloud infrastructures. servicing the user's needs and constraints, MELODIC will realise the potential of Cloud computing for big data and data-intensive applications by transparently taking advantage of distinct characteristics of available private and public clouds and dynamically optimise resource utilisation.

COLA - Cloud Orchestration at the Level of Application

SMEs and public sector organizations increasingly investigate the possibilities to use cloud computing services in their everyday business conduct. Accessing services and resources in the cloud on-demand and in a flexible and elastic way could result in significant cost savings.

The project aims at producing a European Cloud Database Appliance for providing a Database as a Service able to match the predictable performance, robustness and trustworthiness of on premise architectures such as those based on mainframes.

Fog computing brings cloud computing capabilities closer to the end-device and users, while enabling location-dependent resource allocation, low latency services, and extending significantly the IoT services portfolio as well as market and business opportunities in the cloud.

Cloud environments are notorious for their lack of stability in performance characteristics, a feature that makes it extremely difficult for owners of time-critical applications to make the decisive step for migration and owners of SaaS to be unable to present performance vs cost trade-offs to their customers when acting as IaaS customers. CLOUDPERFECT will enable a) Cloud providers to enhance the stability and performance effectiveness of their infrastructures, through modelling/understanding of the overheads, optimal groupings of concurrently running services, runtime analysis and adaptation.

PrEstoCloud project will make substantial research contributions in the cloud computing and real-time data intensive applications domains, in order to provide a dynamic, distributed, self-adaptive and proactively configurable architecture for processing Big Data streams.

Unicorn aims to simplify the design, deployment and management of secure and elastic – by design - multi-cloud services. This will be achieved by a) development and design libraries that will provide security enforcement mechanisms, data privacy restrictions, monitoring metric.

The goal of the OPERANDO project is to specify, implement, field-test, validate and exploit an innovative privacy enforcement platform that will enable the Privacy as a Service (PaS) business paradigm and the market for online privacy services. The OPERANDO project will integrate and extend the state of the art to create a platform that will be used by independent Privacy Service Providers (PSPs) to provide comprehensive user privacy enforcement